Research Data Scientist at dunnhumby

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

Master’s degree or equivalent in Computer Science, AI, ML, Statistics, Physics, Engineering, Biology, or a related field. PhD preferred
Programming experience, ideally in Python, and ability to handle large data volumes with modern processing tools (e.g., Hadoop, Spark, SQL)
Experience with tools like Git for code management and collaboration
Experience building and maintaining highly available production systems on GCP, Azure, or AWS
Proficiency with machine learning techniques such as regularized regression, clustering, or tree-based ensembles, and implementing them via libraries
Familiarity with open-source software, including machine learning packages (e.g., Pandas, scikit-learn), deep learning frameworks (such as PyTorch or TensorFlow), and data visualization tools
Adaptable and quick learner in a fast-paced environment, producing high-quality code
Strong communication skills, with a willingness to present work to both technical and non-technical audiences, and to contribute to the wider data science community
Demonstrated ability to break down complex problems and develop innovative, data-driven solutions
Experience building CI/CD pipelines is a plus
Experience in retail sector is a plus

Responsibilities

Apply machine learning and statistical techniques to business problems
Contribute to the research and implementation of new approaches to address complex problems
Perform data analysis and model validation
Present results to a variety of internal stakeholders

Skills

Python

SQL

Hadoop

Spark

Git

AWS

GCP

Azure

Machine Learning

Statistics

dunnhumby

Customer data analytics for retail optimization

About dunnhumby

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.

London, United KingdomHeadquarters

1989Year Founded

BUYOUT_LBOCompany Stage

Data & Analytics, Consulting, Venture Capital, Consumer GoodsIndustries

1,001-5,000Employees